Quantitative Analyst

AC Global Investment Partners is a boutique investment advisory and wealth management practice serving ultra-high-net-worth families, single-family offices, and institutional clients, with offices in

New York and Miami

.

AC Global Investment Partners

is the “doing business as entity” through which

Lisandro Chanlatte

, an Investment Professional (IP) of Insigneo Securities, LLC (“ISEC”) and Insigneo Advisory Services, LLC (“IAS”), and

Carlos Asilis

, an IP of IAS, conduct their securities and investment advisory activities.

AC Global Investment Partners

is not itself a broker dealer or an investment advisor and is not under common ownership with ISEC or IAS. The firm operates across OCIO advisory and active global investment strategies spanning equities, fixed income, alternatives, precious metals, and thematic investing.

Role Overview

We are seeking a highly analytical

Quantitative Analyst (full-time)

to join our investment team. This is a

distributed team environment

— team members operate across locations, primarily

New York and Miami.

The role supports quantitative research and portfolio construction across global equities, fixed income, precious metals, alternatives, and macro-driven thematic strategies.

Job Responsibilities/Main Function

• Build data pipelines and analytics tools (Python/R)
• Perform portfolio optimization and asset allocation analysis
• Monitor portfolio risk exposures
• Support investment due diligence and backtesting
• Retrieve monthly account statements and consolidate client positions across custodians
• Reconcile portfolios against internal systems (primarily Orion)

What You Will Build

• Macroeconomic dashboards and risk-factor models
• Portfolio optimization and attribution tools
• Automated data pipelines (Bloomberg, Morningstar, APIs)
• Backtesting frameworks and AI-powered research workflows

Job Requirements (Education, Experience, Skills, and Capabilities)

• Bachelor’s or Master’s degree in a highly quantitative field (Finance, Financial Engineering, Data Science, Mathematics, Statistics, Computer Science, or related discipline)
• Strong academic record demonstrating quantitative and analytical rigor
• Experience with financial data sources specifically Bloomberg
• Strong Python programming skills preferred (Pandas, NumPy, SciPy, Scikit-Learn, Plotly)
• Experience with SQL and working with complex datasets or APIs
• Exposure to machine learning techniques, predictive analytics, large language models, or alternative data applications in investment research, preferred

Professional Development \& Licensing

• Progress toward, or willingness to pursue, industry certifications such as the CFA (Chartered Financial Analyst) or relevant securities licenses is encouraged.
• The role provides exposure aligned with long-term development in investment management, portfolio construction, and advisory functions

What You Will Gain

• Direct exposure to institutional portfolio management
• Experience working with ultra-high-net-worth families and family offices
• Participation in investment committee discussions
• Hands-on experience in asset allocation, manager selection, and risk management
• Exposure to global macroeconomic research and thematic investing
• Opportunity to contribute directly to investment decisions and client outcomes